{"id":"https://openalex.org/W2292297385","doi":null,"title":"Statistical Structure and Task Dependence in Visual Cue Integration 1","display_name":"Statistical Structure and Task Dependence in Visual Cue Integration 1","publication_year":1999,"publication_date":"1999-01-01","ids":{"openalex":"https://openalex.org/W2292297385","mag":"2292297385"},"language":"en","primary_location":{"id":"pmh:oai:CiteSeerX.psu:10.1.1.321.793","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.321.793","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://gandalf.psych.umn.edu/users/kersten/kersten-lab/papers/SchraterKerstenCVPRWork99.pdf","raw_type":"text"},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5071796726","display_name":"Paul Schrater","orcid":"https://orcid.org/0000-0001-7853-8984","observed_orcids":["https://orcid.org/0000-0001-7853-8984"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Paul Schrater","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0001-7853-8984","affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5057010401","display_name":"Daniel Kersten","orcid":"https://orcid.org/0000-0003-2997-7299","observed_orcids":["https://orcid.org/0000-0003-2997-7299"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Daniel Kersten","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0003-2997-7299","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6634,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.63583715,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10427","display_name":"Visual perception and processing mechanisms","score":0.9872999787330627,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10427","display_name":"Visual perception and processing mechanisms","score":0.9872999787330627,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.008200000040233135,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.0019000000320374966,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/visual-cue-integration","display_name":"visual cue integration","score":0.7860000133514404},{"id":"https://openalex.org/keywords/cue-combination","display_name":"cue combination","score":0.734000027179718},{"id":"https://openalex.org/keywords/depth-perception","display_name":"depth perception","score":0.7379999756813049},{"id":"https://openalex.org/keywords/modularity","display_name":"modularity","score":0.8220000267028809},{"id":"https://openalex.org/keywords/conditional-independence","display_name":"conditional independence","score":0.8399999737739563},{"id":"https://openalex.org/keywords/image-size","display_name":"image size","score":0.9559999704360962},{"id":"https://openalex.org/keywords/task-dependence","display_name":"task dependence","score":0.6959999799728394},{"id":"https://openalex.org/keywords/human-visual-performance","display_name":"human visual performance","score":0.45399999618530273}],"concepts":[{"id":"https://openalex.org/C2779478453","wikidata":"https://www.wikidata.org/wiki/Q6889748","display_name":"Modularity (biology)","level":2,"score":0.6658819913864136},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6392055153846741},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5312784910202026},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.4698903560638428},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44922178983688354},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.42830461263656616},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4267330765724182},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4182232618331909},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37597739696502686},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.373124897480011},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"pmh:oai:CiteSeerX.psu:10.1.1.321.793","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.321.793","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://gandalf.psych.umn.edu/users/kersten/kersten-lab/papers/SchraterKerstenCVPRWork99.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.646.1484","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.646.1484","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://vision.psych.umn.edu/users/kersten/kersten-lab/papers/SchraterKersten99.pdf","raw_type":"text"},{"id":"mag:2292297385","doi":null,"is_oa":false,"landing_page_url":"http://eye.psych.umn.edu/users/kersten/kersten-lab/papers/SchraterKerstenCVPRWork99.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1519344860","https://openalex.org/W1568281349","https://openalex.org/W1597739853","https://openalex.org/W1604979084","https://openalex.org/W1657347807","https://openalex.org/W1827848544","https://openalex.org/W1970015320","https://openalex.org/W1982669781","https://openalex.org/W2036441802","https://openalex.org/W2042755403","https://openalex.org/W2042925217","https://openalex.org/W2055447045","https://openalex.org/W2062926438","https://openalex.org/W2079363745","https://openalex.org/W2080164254","https://openalex.org/W2101349782","https://openalex.org/W2126174118","https://openalex.org/W2134849909","https://openalex.org/W2136971892","https://openalex.org/W2145012779","https://openalex.org/W2145191135","https://openalex.org/W2147163586","https://openalex.org/W2159080219","https://openalex.org/W2162749542","https://openalex.org/W2164182318","https://openalex.org/W2169870310","https://openalex.org/W2171265988","https://openalex.org/W2403035479","https://openalex.org/W2796930440","https://openalex.org/W2911546748"],"related_works":["https://openalex.org/W2188249010","https://openalex.org/W2034813979","https://openalex.org/W7098142297","https://openalex.org/W1545344975","https://openalex.org/W6889052244","https://openalex.org/W2625216601","https://openalex.org/W7097898829","https://openalex.org/W2167942815","https://openalex.org/W2060764783","https://openalex.org/W4280554349"],"abstract_inverted_index":{"A":[0,21],"full":[1],"Bayesian":[2,112],"approach":[3],"to":[4,138],"vision":[5,54],"requires":[6],"consideration":[7],"of":[8,24,33,37,52,60,78,103,107,117,125,155,163,192],"potential":[9],"interactions":[10],"between":[11],"all":[12],"the":[13,17,25,34,98,104,108,118,122,133,153,161,190],"variables":[14],"in":[15,62,121],"both":[16,46],"scene":[18,41,66],"and":[19,40,49,92,100,127,157,173],"image.":[20],"complete":[22],"model":[23],"interactions,":[26],"however,":[27,91],"would":[28,179],"seem":[29],"computationally":[30],"intractable":[31],"because":[32],"large":[35],"dimensionality":[36],"image":[38,79,83,174],"measurements":[39],"properties.":[42],"As":[43],"a":[44,64,75,111],"consequence,":[45],"experimental":[47],"studies":[48],"theoretical":[50],"models":[51],"human":[53,193],"have":[55],"relied":[56],"on":[57],"an":[58],"assumption":[59],"modularity":[61,114,143,156,178],"which":[63],"particular":[65,139],"property,":[67],"such":[68,81],"as":[69,82],"object":[70],"depth,":[71],"is":[72,88,144,195],"estimated":[73],"from":[74,165],"restricted":[76],"set":[77],"measurements,":[80],"size.":[84,175],"The":[85],"computational":[86],"problem":[87,154],"not":[89],"hopeless,":[90],"can":[93],"be":[94],"surmounted":[95],"by":[96,198],"restricting":[97],"task":[99],"taking":[101],"advantage":[102],"statistical":[105],"structure":[106],"problem.":[109],"In":[110],"context,":[113],"falls":[115],"out":[116],"conditional":[119],"independencies":[120],"joint":[123,134],"distribution":[124,135],"scenes":[126],"images":[128],"p(S,":[129],"I).":[130],"By":[131],"conditioning":[132],"with":[136],"respect":[137],"inference":[140],"tasks,":[141],"further":[142],"possible":[145],"while":[146],"preserving":[147],"optimal":[148],"cue":[149,158,185,200],"combination.":[150,201],"We":[151],"illustrate":[152],"combination":[159],"for":[160],"perception":[162],"depth":[164],"two":[166],"highly":[167],"disparate":[168],"cues,":[169],"cast":[170],"shadow":[171],"position":[172],"While":[176],"strong":[177],"suggest":[180],"ad":[181],"hoc":[182],"or":[183],"no":[184],"combination,":[186],"we":[187],"find":[188],"that":[189],"performance":[191],"subjects":[194],"better":[196],"predicted":[197],"near-optimal":[199]},"counts_by_year":[],"updated_date":"2026-08-26T07:47:46.906454","created_date":"2016-06-24T00:00:00"}
